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Fine-tuned_LayoutLMv3_on_SROIE
missdua-07/Fine-tuned_LayoutLMv3_on_SROIE
Fine-tuned_LayoutLMv3_on_SROIE is a machine learning model from missdua-07. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Aug 2, 2024
- Updated
- Aug 2, 2024
- SHA
- 3fcf4572
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
Fine-tuned_LayoutLMv3_on_SROIE
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0393
- Precision: 0.9286
- Recall: 0.9460
- F1: 0.9372
- Accuracy: 0.9948
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.04 | 12.5 | 500 | 0.0308 | 0.9128 | 0.9424 | 0.9273 | 0.9941 |
| 0.0057 | 25.0 | 1000 | 0.0353 | 0.9222 | 0.9474 | 0.9346 | 0.9947 |
| 0.0022 | 37.5 | 1500 | 0.0385 | 0.9218 | 0.9424 | 0.9320 | 0.9943 |
| 0.0013 | 50.0 | 2000 | 0.0377 | 0.9392 | 0.9467 | 0.9429 | 0.9951 |
| 0.0008 | 62.5 | 2500 | 0.0393 | 0.9286 | 0.9460 | 0.9372 | 0.9948 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Aug 2, 2024
- Updated
- Aug 2, 2024